done

examples/carbon_emission_monitor/README.md

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+# Integrating Zeus with HuggingFace 🤗
+
+This example will demonstrate how to integrate Zeus's `CarbonEmissionMonitor` with HuggingFace Transformers:
+
+`run_clm.py`: Transformers [`Trainer`](https://huggingface.co/docs/transformers/main_classes/trainer) for **causal langauge modeling** (i.e., pre-training)
+
+## Dependencies
+
+To run the `Trainer` integration script (`run_clm.py`):
+```sh
+pip install -r requirements.txt
+
+## `CarbonEmissionMonitor`
+
+[`CarbonEmissionMonitor`](https://ml.energy/zeus/reference/monitor/energy/#zeus.monitor.energy.ZeusMonitor): Measures the GPU time, energy consumption, and carbon emission of arbitrary code blocks.
+
+## Running the Example
+
+By default, `Trainer` will make use of all available GPUs. If you would like to use only a subset of the GPUs, specify the `CUDA_VISIBLE_DEVICES` environment variable, which Zeus will also automatically respect.
+
+```bash
+# For Trainer.
+python run_clm.py \
+    --model_name_or_path gpt2 \
+    --dataset_name wikitext \
+    --dataset_config_name wikitext-2-raw-v1 \
+    --per_device_train_batch_size 8 \
+    --per_device_eval_batch_size 8 \
+    --do_train \
+    --do_eval \
+    --output_dir /tmp/test-clm

examples/carbon_emission_monitor/requirements.txt

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+zeus-ml
+accelerate >= 0.12.0
+torch >= 1.3
+datasets >= 1.8.0
+sentencepiece != 0.1.92
+protobuf
+evaluate
+scikit-learn
+transformers>=4.37.2